Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -1.6 * weight + 114
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Brown
1
65 kgBoswell
2
70 kgCraddock
4
69 kgRathe
5
74 kgStone
19
64 kgMannion
28
58 kg
1
65 kgBoswell
2
70 kgCraddock
4
69 kgRathe
5
74 kgStone
19
64 kgMannion
28
58 kg
Weight (KG) →
Result →
74
58
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BROWN Nathan | 65 |
| 2 | BOSWELL Ian | 70 |
| 4 | CRADDOCK Lawson | 69 |
| 5 | RATHE Jacob | 74 |
| 19 | STONE Mike | 64 |
| 28 | MANNION Gavin | 58 |